This was the second instalment of DATAMIND and MQ’s workshop series on mental health data science, providing a forum for early career researchers in the mental health data science community to come together and explore innovative data science approaches in the field.
Part 1: Using Clinical Data for Research: Case Study from the South London and Maudsley Biomedical Research Centre Conducted by Matthew Broadbent and Amelia Jewell
- Explored the benefits and challenges of utilising clinical data for research.
- Topics included:
- Benefits and potential for research.
- Questions regarding data quality.
- Natural Language Processing (NLP) for extracting information from clinical text.
- Understanding performance metrics.
Defining complex data extracts to address research inquiries.
Part 2: Using Clinical Data for Research: Case Study from the South London and Maudsley Biomedical Research Centre Facilitated by Matthew Broadbent, Amelia Jewell, and Risha Govind
- Conducted a workshop to examine challenges and outline solutions for extracting clinical data to address real-world research queries.
- Provided support for multisite projects.
Part 3A: Data Linkage Led by Matthew Broadbent and Amelia Jewell
- Introduction to clinical data linkage methods and challenges.
Part 3B: Data Linkage Led by Katrina Davis
- Shared knowledge and experiences regarding the utilisation of linked data for research purposes.
The Catalogue of Mental Health Measures: Discovering the depths of mental health data in UK longitudinal studies Presented by Louise Arseneault and Elena Triantafillopoulou
- Question and Answer session with Louise and Elena.
Let’s Talk: How can DATAMIND support early career researchers in the field of mental health data science? Facilitated by Ann John & Rob Stewart
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